@stdlib/blas-ext-to-sortedhp
v0.1.1
Published
Return a new ndarray containing the elements of an input ndarray sorted along one or more ndarray dimensions using heapsort.
Readme
toSortedhp
Return a new ndarray containing the elements of an input ndarray sorted along one or more ndarray dimensions using heapsort.
Installation
npm install @stdlib/blas-ext-to-sortedhpUsage
var toSortedhp = require( '@stdlib/blas-ext-to-sortedhp' );toSortedhp( x[, sortOrder][, options] )
Returns a new ndarray containing the elements of an input ndarray sorted along one or more ndarray dimensions using heapsort.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = toSortedhp( x );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -3.0, -1.0, 2.0 ]The function has the following parameters:
- x: input ndarray. Must have a real-valued or "generic" data type.
- sortOrder: sort order (optional). May be either a scalar value, string, or an ndarray having a real-valued or "generic" data type. If provided an ndarray, the value must have a shape which is broadcast-compatible with the complement of the shape defined by
options.dims. For example, given the input shape[2, 3, 4]andoptions.dims=[0], an ndarray sort order must have a shape which is broadcast-compatible with the shape[3, 4]. Similarly, when performing the operation over all elements in a provided input ndarray, an ndarray sort order must be a zero-dimensional ndarray. By default, the sort order is1(i.e., increasing order). - options: function options (optional).
The function accepts the following options:
- dims: list of dimensions over which to perform operation. If not provided, the function performs the operation over all elements in a provided input ndarray.
- dtype: output ndarray data type.
By default, the function sorts elements in increasing order. To sort in a different order, provide a sortOrder argument.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = toSortedhp( x, -1.0 );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ 2.0, -1.0, -3.0 ]In addition to numeric values, one can specify the sort order via one of the following string literals: 'ascending', 'asc', 'descending', or 'desc'. The first two literals indicate to sort in ascending (i.e., increasing) order. The last two literals indicate to sort in descending (i.e., decreasing) order.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
// Sort in ascending order:
var y = toSortedhp( x, 'asc' );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -3.0, -1.0, 2.0 ]
// Sort in descending order:
y = toSortedhp( x, 'descending' );
// returns <ndarray>
arr = ndarray2array( y );
// returns [ 2.0, -1.0, -3.0 ]By default, the function performs the operation over all elements in a provided input ndarray. To perform the operation over specific dimensions, provide a dims option.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0, 4.0 ], {
'shape': [ 2, 2 ],
'order': 'row-major'
});
var v = ndarray2array( x );
// returns [ [ -1.0, 2.0 ], [ -3.0, 4.0 ] ]
var y = toSortedhp( x, {
'dims': [ 0 ]
});
// returns <ndarray>
v = ndarray2array( y );
// returns [ [ -3.0, 2.0 ], [ -1.0, 4.0 ] ]To specify the output ndarray data type, provide a dtype option.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = toSortedhp( x, {
'dtype': 'float32'
});
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -3.0, -1.0, 2.0 ]toSortedhp.assign( x, out[, sortOrder][, options] )
Sorts the elements of an input ndarray along one or more ndarray dimensions using heapsort and assigns the results to an output ndarray.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zeros = require( '@stdlib/ndarray-zeros' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = zeros( [ 3 ] );
var out = toSortedhp.assign( x, y );
// returns <ndarray>
var arr = ndarray2array( out );
// returns [ -3.0, -1.0, 2.0 ]
var bool = ( y === out );
// returns trueThe function has the following parameters:
- x: input ndarray. Must have a real-valued or "generic" data type.
- out: output ndarray. Must have a real-valued or "generic" data type.
- sortOrder: sort order (optional). May be either a scalar value, string, or an ndarray having a real-valued or "generic" data type. If provided an ndarray, the value must have a shape which is broadcast-compatible with the complement of the shape defined by
options.dims. For example, given the input shape[2, 3, 4]andoptions.dims=[0], an ndarray sort order must have a shape which is broadcast-compatible with the shape[3, 4]. Similarly, when performing the operation over all elements in a provided input ndarray, an ndarray sort order must be a zero-dimensional ndarray. By default, the sort order is1(i.e., increasing order). - options: function options (optional).
The function accepts the following options:
- dims: list of dimensions over which to perform operation. If not provided, the function performs the operation over all elements in a provided input ndarray.
Notes
- If
sortOrder < 0.0or is either'desc'or'descending', the input ndarray is sorted in decreasing order. IfsortOrder > 0.0or is either'asc'or'ascending', the input ndarray is sorted in increasing order. IfsortOrder == 0.0, the input ndarray is left unchanged. - The algorithm distinguishes between
-0and+0. When sorted in increasing order,-0is sorted before+0. When sorted in decreasing order,-0is sorted after+0. - The algorithm sorts
NaNvalues to the end. When sorted in increasing order,NaNvalues are sorted last. When sorted in decreasing order,NaNvalues are sorted first. - The algorithm has space complexity
O(1)and time complexityO(N log2 N). - The algorithm is unstable, meaning that the algorithm may change the order of ndarray elements which are equal or equivalent (e.g.,
NaNvalues). - The function iterates over ndarray elements according to the memory layout of the input ndarray. Accordingly, performance degradation is possible when operating over multiple dimensions of a large non-contiguous multi-dimensional input ndarray. In such scenarios, one may want to copy an input ndarray to contiguous memory before sorting.
Examples
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var ndarray = require( '@stdlib/ndarray-ctor' );
var toSortedhp = require( '@stdlib/blas-ext-to-sortedhp' );
// Generate an array of random numbers:
var xbuf = discreteUniform( 25, -20, 20, {
'dtype': 'generic'
});
// Wrap in an ndarray:
var x = new ndarray( 'generic', xbuf, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
// Perform operation:
var out = toSortedhp( x, {
'dims': [ 0 ]
});
// Print the results:
console.log( ndarray2array( out ) );Notice
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For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
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License
See LICENSE.
Copyright
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